Head, AI Delivery & Enablement (AIDE), Director
Pfizer
July 02, 2026
Remote friendly (Cambridge, MA)
United States
IT
Role Responsibilities:
- Set the strategic direction and roadmap for AI Delivery & Enablement (AIDE) using LLMs, agentic systems, multimodal AI, and related methods to address high-value scientific problems in Inflammation & Immunology (I&I).
- Lead the AIDE portfolio across I&I: identify, prioritize, and shape opportunities for reusable, technically credible AI capabilities that create scientific/operational leverage.
- Provide senior technical and scientific direction to ensure solutions are methodologically sound and grounded in biological, translational, and drug discovery context.
- Guide development of reusable AI-enabled capabilities to strengthen end-to-end scientific decision-making (scientific rigor, technical quality, reproducibility, practical utility).
- Establish governance and evaluation standards (provenance, validation, guardrails, responsible use, and appropriate human oversight).
- Partner with Systems Immunology, I&I line teams, and Digital partners to align AI efforts with real scientific needs and enable trusted, scalable adoption.
- Shape and manage selected external partnerships relevant to AIDE priorities.
- Communicate AIDE portfolio value/impact to senior stakeholders (rationale, differentiation, adoption trajectory, ROI).
- Build a strong AIDE technical culture to support responsible AI adoption.
Basic Qualifications:
- BS + 8+ yrs OR MS + 7+ yrs OR PhD + 5+ yrs (computer science/ML/AI/computational biology/bioinformatics/stats/engineering/life sciences or related).
- Experience leading complex, cross-functional applied AI/digital transformation initiatives (strategy, portfolio prioritization, value realization).
- Hands-on understanding of LLMs/generative AI/ML to guide trade-offs.
- Ability to identify/prioritize high-value use cases in ambiguous environments with measurable impact.
- Experience building/scaling reusable workflows/methods/products/platforms (not one-off analyses).
- Ability to develop AI strategy/portfolio and communicate impact/ROI to senior stakeholders.
- Matrix leadership, communication, and influence; drive adoption without relying solely on formal authority.
- Judgment on rigor, evaluation, provenance, model limitations, risk, and human oversight.
Preferred Qualifications:
- Experience in life sciences/pharma/biotech/systems biology/immunology/translational science/omics.
- Fluency across AI/technology and biology; credibility with scientists and line leaders.
Application Instructions:
- Last date to apply: July 15, 2026.
- Set the strategic direction and roadmap for AI Delivery & Enablement (AIDE) using LLMs, agentic systems, multimodal AI, and related methods to address high-value scientific problems in Inflammation & Immunology (I&I).
- Lead the AIDE portfolio across I&I: identify, prioritize, and shape opportunities for reusable, technically credible AI capabilities that create scientific/operational leverage.
- Provide senior technical and scientific direction to ensure solutions are methodologically sound and grounded in biological, translational, and drug discovery context.
- Guide development of reusable AI-enabled capabilities to strengthen end-to-end scientific decision-making (scientific rigor, technical quality, reproducibility, practical utility).
- Establish governance and evaluation standards (provenance, validation, guardrails, responsible use, and appropriate human oversight).
- Partner with Systems Immunology, I&I line teams, and Digital partners to align AI efforts with real scientific needs and enable trusted, scalable adoption.
- Shape and manage selected external partnerships relevant to AIDE priorities.
- Communicate AIDE portfolio value/impact to senior stakeholders (rationale, differentiation, adoption trajectory, ROI).
- Build a strong AIDE technical culture to support responsible AI adoption.
Basic Qualifications:
- BS + 8+ yrs OR MS + 7+ yrs OR PhD + 5+ yrs (computer science/ML/AI/computational biology/bioinformatics/stats/engineering/life sciences or related).
- Experience leading complex, cross-functional applied AI/digital transformation initiatives (strategy, portfolio prioritization, value realization).
- Hands-on understanding of LLMs/generative AI/ML to guide trade-offs.
- Ability to identify/prioritize high-value use cases in ambiguous environments with measurable impact.
- Experience building/scaling reusable workflows/methods/products/platforms (not one-off analyses).
- Ability to develop AI strategy/portfolio and communicate impact/ROI to senior stakeholders.
- Matrix leadership, communication, and influence; drive adoption without relying solely on formal authority.
- Judgment on rigor, evaluation, provenance, model limitations, risk, and human oversight.
Preferred Qualifications:
- Experience in life sciences/pharma/biotech/systems biology/immunology/translational science/omics.
- Fluency across AI/technology and biology; credibility with scientists and line leaders.
Application Instructions:
- Last date to apply: July 15, 2026.